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This work contains KNN classification of Hyperspectral Satellite Images using the given groundtruth and finding success rate of the method. You can download the hypersectral images using the link below :http://www.ehu.eus/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes&redirect=no#Pavia_University_scene
Recreation of work done by Liao et. al. in the paper "Fusion of Spectral and Spatial Information for Classification of Hyperspectral Remote-Sensed Imagery by Local Graph"
Matlab code for our JARS18 paper "Spectral and spatial classification of hyperspectral image based on random multi-graphs"
The matlab code for the paper "Sea ice classification from hyperspectral images based on self-paced boost learning"
MALAB code for the paper "Spectral-spatial hyperspectral image classification with edge-preserving filtering" IEEE TGRS 2014
Multiple instance learning bag generation code using data from the ECOSTRESS Spectral Library V1.0.
Classification of the homogeneous regions in a hyperspectral image - Project for the Clustering Algorithms course (Fall 2019) at the UoA (MSc in Data Science)
Very efficient and effective hyperspectral denoising implementation.
matlab GUI tool for acquiring Bio-chemical parameters from satellite image
This toolbox allows to perform unmixing on hyperspectral data with a Proximal Interior Point Algorithm (PIPA).
Sparsity Measure based Library Aided Unmixing of Hyperspectral Data
HyperSpectral Matlab Toolbox forked from Sourceforge
Three-Order Tucker Decomposition and Reconstruction Detector for Unsupervised Hyperspectral Change Detection
HySure is an algorithm to fuse hyperspectral remote sensing images with either multispectral or panchromatic ones.
Iterative block tensor singular value thresholding for extraction of low rank component of image data
the code is for the paper IBTSVT
MATLAB scripts to reproduce the results of our ICML 2010 paper
Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning
SULoRA: Danfeng Hong, Xiaoxiang Zhu. Subspace Unmixing with Low-Rank Attribute Embedding for Hyperspectral Data Analysis, IEEE JSTSP, 2018.
Matlab code of the TGRS paper entitled "Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing".
Iterative-scheme Inspired Network for Impulse Noise Removal
BTP on matrix completion done at IISC, Bangalore
In this project, Image Denoising is considered for two cases. The first one is additive Gaussian noise while the second one is speckle noise. Our approach is based on wavelet transform (Donoho's approach).
Noise Reduction in Images using Wavelet Shrinkage with Soft Thresholding
Deep Learning-based Image Fusion: A Survey
Image processing datasets (brightening, color enhancement, inpainting, denoising, dehazing, deblurring, and deraining)
Graph-cut segmentation and T-point threshold
Project done towards completion of course Digital Image Processing
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